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Photoacoustic microscopy: Photoacoustic microscopy

Junjie Yao, +1 more
- 01 Sep 2013 - 
- Vol. 7, Iss: 5, pp 758-778
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TLDR
Focusing on state-of-the-art developments in PAM, this Review discusses the key features of PAM implementations and their applications in biomedical studies.
Abstract
Photoacoustic microscopy (PAM) is a hybrid in vivo imaging technique that acoustically detects optical contrast via the photoacoustic effect. Unlike pure optical microscopic techniques, PAM takes advantage of the weak acoustic scattering in tissue and thus breaks through the optical diffusion limit (~1 mm in soft tissue). With its excellent scalability, PAM can provide high-resolution images at desired maximum imaging depths up to a few millimeters. Compared with backscattering-based confocal microscopy and optical coherence tomography, PAM provides absorption contrast instead of scattering contrast. Furthermore, PAM can image more molecules, endogenous or exogenous, at their absorbing wavelengths than fluorescence-based methods, such as wide-field, confocal, and multi-photon microscopy. Most importantly, PAM can simultaneously image anatomical, functional, molecular, flow dynamic and metabolic contrasts in vivo. Focusing on state-of-the-art developments in PAM, this Review discusses the key features of PAM implementations and their applications in biomedical studies.

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Citations
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Full-view in vivo skin and blood vessels profile segmentation in photoacoustic imaging based on deep learning.

TL;DR: Wang et al. as discussed by the authors proposed a DL model based on modified U-Net for extracting the relationship features between amplitudes of the generated photoacoustic signal from skin and underlying vessels.
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Ultrasound and Photoacoustic Imaging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook

TL;DR: An overview of available systems in the area of TUST and PAT are discussed along with their advantages and disadvantages in breast cancer diagnosis to provide a landscape of possible intersections and future refinements in cancer diagnosis.
Journal ArticleDOI

ADMM based low-rank and sparse matrix recovery method for sparse photoacoustic microscopy

TL;DR: An Alternating Direction Method of Multipliers (ADMM) based low-rank and sparse matrix recovery method for a sparse optical-scanning PAM system to realize fast PAM vascular imaging and demonstrates the preclinical and clinical potential of sparse Pam system in investigating vascular diseases.
Journal ArticleDOI

Whole-Cell Photoacoustic Sensor Based on Pigment Relocalization.

TL;DR: A photoac acoustic pigment relocalization sensor (PaPiReS) is introduced for molecular photoacoustic imaging of GPCR-mediated signaling molecules of cuttlefish who can change their color by relocalizing pigment-filled organelles in so-called chromatophore cells under neurohumoral control.
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Ultra-widefield photoacoustic microscopy with a dual-channel slider-crank laser-scanning apparatus for in vivo biomedical study.

TL;DR: In this paper, a dual-channel photoacoustic microscopy (PAM) system based on a custom-made slider-crank scanner is presented. But, the system's spatial resolution is measured at ∼3.4μm and ∼37μm, respectively.
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